Lan Yan

181 papers receiving 3.4k citations

Peers

Lan Yan
Comparison fields: 5 of 179
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Biotechnology 148
  • Surfaces, Coatings and Films 115
  • Computer Vision and Pattern Recognition 350
  • Electrical and Electronic Engineering 790
Replace Qian Cheng with:
Qian Cheng China
Lian Li China
Joachim Wegener Germany
Xiaoyan Yu China
Vishal Sharma India
Fan Li China
Lei Xie United States
Chia‐Wei Wang Taiwan
Yaqin Zhang China
Mats Andersson Sweden
Lan Yan relative to Qian Cheng China Qian Cheng's profile →
Citations per field
00.5×2×2.6×
Qian Cheng · 1×
Citations per year

Countries citing papers authored by Lan Yan

Since Specialization
Citations

This map shows the geographic impact of Lan Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Yan more than expected).

Fields of papers citing papers by Lan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lan Yan. The network helps show where Lan Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Lan Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lan Yan Line = papers co-authored together Lan Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015148
2 2019134
3 199884
4 201784
5 202081
6 201877
7 201475
8 201275
9 200675
10 201972
11 201472
12 201871
13 200570
14 202068
15 202067
16 202264
17 202358
18 201455
19 201255
20 201751

About Lan Yan

Lan Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Materials Chemistry, Artificial Intelligence and Electrical and Electronic Engineering, having authored 193 papers that have together received 3.5k indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (32 papers), Lanthanide and Transition Metal Complexes (22 papers), Magnetism in coordination complexes (20 papers), Metal complexes synthesis and properties (15 papers), Plasma Diagnostics and Applications (14 papers), Multimodal Machine Learning Applications (13 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Domain Adaptation and Few-Shot Learning (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Biotechnology (148 citations), Surfaces, Coatings and Films (115 citations), Computer Vision and Pattern Recognition (350 citations) and Electrical and Electronic Engineering (790 citations). Lan Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Fei–Yue Wang, Wenbo Zheng, Cheng Cheng, Jie Shen, Chao Gou, Paul K. Chu, Rudong Yang, Zimu Xu, Hao Zhang and Weidong Xia. Their work appears in journals such as Journal of Physics D Applied Physics, Plasma Processes and Polymers, Polyhedron, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Chemical Engineering Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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